Angiotensin Converting Enzyme Inhibitors and Angiotensin Receptor Blockers and The Risk of SARS-CoV-2 Infection: A Systematic Review and Meta-analysis 
Notice bibliographique
Résumé
Abstract Importance:SARS-CoV-2 virus gains access and infects target cells via angiotensin converting enzyme 2 (ACE2) receptor. Because angiotensin converting enzyme inhibitors (ACEIs)/angiotensin receptor blockers (ARBs) could increase the expression of ACE2, there are growing concerns that their use could increase the risk of SARS-CoV-2 infection. Cardiac societies have called for epidemiological research about this emerging controversy. Objective:We sought to systematically review the literature and perform a meta-analysis about prior use of ACEI/ARBs and risk of SARS-CoV-2 infection.Data source:We searched multiple data sources including PubMed , ClinicalTrial.org , and medrxiv.org from November 2019 through May 16, 2020. Study selection:Any study that reported on the adjusted association of prior use of ACEIs / ARBs and risk of acquiring SARS-CoV-2 infection was eligible. Two authors independently reviewed eligible studies and extracted data into a prespecified data collection form. Data synthesis:An inverse variance meta-analytic approach was used to pool adjusted odds ratios using a random effect model meta-analysis. I 2 test was used to assess in-between studies heterogeneity. The Newcastle–Ottawa quality assessment scale (NOS) was used to assess the quality of included studies. Main outcome and Measures:The association between the prior use of ACEIs or ARBs and risk of SARS-CoV-2 infection was assessed using pooled OR and 95% confidence interval. Results:Six case control studies that enrolled a total of 5657 patients (2536 patients in ACEIs arm and 3121 patients in ARBs arm ) and 721,859 controls were included in our meta-analysis. Two of the included studies were from the USA, one from Italy, one from China, one from Spain, and one from South Korea. All included studies scored high based on NOS scale. Prior use of ACEIs was not significantly associated with an increased risk of SARS-CoV-2 infection, OR 0.93, CI (0.85,1.02), I 2 =20%. Similarly, prior use of ARBs was not significantly associated with an increased risk of SARS-CoV-2 infection, OR 0.86, CI (0.67,1.10), I 2 =93%. Sensitivity analysis was performed by removing a study that could have been affected by residual confounding; OR for ARB 1.04, CI (0.96,1.12), I 2 =32%.Conclusion:Findings from this systematic review and meta-analysis suggest that prior use of ACEIs or ARBs is not associated with a higher risk of COVID-19. Our results are in support of the recent recommendations of cardiac societies and provide a reassurance to the public not to discontinue prescribed ACEIs/ARBs due to fear of COVID-19.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,059 | 0,247 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,018 | 0,005 |
| Bibliométrie | 0,003 | 0,011 |
| Études des sciences et des technologies | 0,001 | 0,007 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,008 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».